% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34241 % Primary Name: PENNSBORO % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.28330 +/- 0.00005 % Longitude: -80.96670 +/- 0.00005 % Elevation (m): 293.48 +/- 69.97 % # of Months: 29 % % Alternate Names: Missing Station ID - 466920 % % IDs: coop - 466920 % ghcnd - USC00466920 % ncdc - 12006104 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e55e14e190639ff2e153e53100b34e90 % Raw Data Hash: 75c967d8d3858d74f69e6b544636f19d % Adj Data Hash: cb13baed75fa4a890313b27718075f7e % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1893 12 NaN NaN NaN NaN NaN NaN 1.851 0.800 1894 1 NaN NaN NaN NaN NaN NaN 1.482 2.719 1894 2 NaN NaN NaN NaN NaN NaN -0.363 -0.512 1894 3 NaN NaN NaN NaN NaN NaN 8.009 2.581 1894 4 NaN NaN NaN NaN NaN NaN 10.608 -0.698 1894 5 NaN NaN NaN NaN NaN NaN 16.147 -0.456 1894 6 NaN NaN NaN NaN NaN NaN 21.263 0.391 1894 7 NaN NaN NaN NaN NaN NaN 22.933 0.005 1894 8 NaN NaN NaN NaN NaN NaN 21.967 -0.424 1894 9 NaN NaN NaN NaN NaN NaN 20.454 1.520 1894 10 NaN NaN NaN NaN NaN NaN 11.817 -0.315 1894 11 NaN NaN NaN NaN NaN NaN 4.053 -2.229 1894 12 1.511 -0.472 0 0 1.511 -0.472 1.206 0.154 1895 1 -2.137 -1.832 0 0 -2.137 -1.832 -3.553 -2.316 1895 2 -6.691 -7.772 1 0 NaN NaN -6.763 -6.912 1895 3 3.483 -2.877 0 0 3.483 -2.877 3.439 -1.989 1895 4 12.800 0.563 0 0 12.800 0.563 11.481 0.176 1895 5 17.670 0.135 0 0 17.670 0.135 15.965 -0.638 1895 6 22.556 0.752 0 0 22.556 0.752 22.303 1.431 1895 7 21.865 -1.995 0 0 21.865 -1.995 21.224 -1.705 1895 8 23.207 -0.116 1 0 NaN NaN 22.821 0.430 1895 9 22.019 2.152 0 0 22.019 2.152 21.216 2.282 1895 10 9.749 -3.314 0 0 9.749 -3.314 8.345 -3.786 1895 11 6.282 -0.932 1 0 NaN NaN 6.554 0.272 1895 12 3.019 1.035 0 0 3.019 1.035 1.672 0.621 1896 1 0.417 0.722 0 0 0.417 0.722 -1.188 0.050 1896 2 1.517 0.436 0 0 1.517 0.436 -0.543 -0.692 1896 3 1.500 -4.860 0 0 1.500 -4.860 1.344 -4.083 1896 4 14.926 2.688 0 0 14.926 2.688 14.495 3.190 1896 5 20.753 3.217 0 0 20.753 3.217 19.918 3.315 1896 6 21.074 -0.729 0 0 21.074 -0.729 20.550 -0.321 1896 7 23.506 -0.355 1 0 NaN NaN 22.505 -0.423 1896 8 22.794 -0.528 1 0 NaN NaN 22.222 -0.169 1896 9 18.655 -1.211 1 0 NaN NaN 18.345 -0.589 1896 10 9.979 -3.084 0 0 9.979 -3.084 9.560 -2.571 1896 11 8.990 1.776 0 0 8.990 1.776 8.562 2.280 1896 12 1.920 -0.063 0 0 1.920 -0.063 1.060 0.009 1897 1 -1.810 -1.505 0 0 -1.810 -1.505 -3.199 -1.962 1897 2 3.075 1.994 0 0 3.075 1.994 1.259 1.110 1897 3 8.455 2.095 0 0 8.455 2.095 7.349 1.921 1897 4 11.222 -1.015 0 0 11.222 -1.015 10.649 -0.657 1897 5 NaN NaN NaN NaN NaN NaN 13.815 -2.788 1897 6 NaN NaN NaN NaN NaN NaN 20.068 -0.804 1897 7 NaN NaN NaN NaN NaN NaN 23.602 0.674 1897 8 NaN NaN NaN NaN NaN NaN 21.132 -1.259 1897 9 NaN NaN NaN NaN NaN NaN 19.236 0.302 1897 10 NaN NaN NaN NaN NaN NaN 13.862 1.731 1897 11 NaN NaN NaN NaN NaN NaN 6.696 0.414 1897 12 NaN NaN NaN NaN NaN NaN 1.950 0.899 1898 1 NaN NaN NaN NaN NaN NaN 1.068 2.305 1898 2 NaN NaN NaN NaN NaN NaN -1.009 -1.158 1898 3 NaN NaN NaN NaN NaN NaN 8.595 3.167 1898 4 NaN NaN NaN NaN NaN NaN 8.851 -2.455